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Related Concept Videos

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
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Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
86
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

131
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
131
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

118
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
118
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

131
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
131

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Updated: Sep 17, 2025

Topical Application Bioassay to Quantify Insecticide Toxicity for Mosquitoes and Fruit Flies
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A physiologically based kinetic model for quantifying human exposure to DEET.

Min-Soo Kim1, Abdullah Hamadeh1, Jason Kowalski2

  • 1School of Pharmacy, University of Waterloo, 10A Victoria Street South, Kitchener, Ontario, N2G 1C5, Canada.

International Journal of Hygiene and Environmental Health
|June 29, 2025
PubMed
Summary
This summary is machine-generated.

A pharmacokinetic-based model (PBK) for N,N-diethyl-3-methylbenzamide (DEET) and its metabolite was developed and validated in humans. This model helps estimate DEET exposure and assess safety in children using insect repellents.

Keywords:
BioavailabilityChildrenDCBADEETInsect repellentsPBPK modellingRisk assessment

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Area of Science:

  • Toxicology
  • Pharmacokinetics
  • Environmental Health

Background:

  • N,N-diethyl-3-methylbenzamide (DEET) is a key ingredient in insect repellents used against mosquitoes and ticks.
  • A human pharmacokinetic-based (PBK) model was developed for DEET and its primary metabolite, 3-(diethylcarbamoyl)benzoic acid (DCBA).

Purpose of the Study:

  • To develop and validate a human PBK model for DEET and DCBA.
  • To interpret biomonitoring data from a DEET exposure study in children.

Main Methods:

  • Integrated systemic and mechanistic dermal absorption models for DEET and DCBA.
  • Utilized in vitro, in vivo, and in silico data for model development and optimization.
  • Validated model predictions against human pharmacokinetic and biomonitoring study data.

Main Results:

  • The integrated PBK model accurately predicted urinary DEET concentrations within a 2-fold range.
  • Estimated typical DEET application at a summer camp was 69.0 mg over 24 hours, with 24.2% dermal bioavailability.
  • Simulated DEET time-course profiles aligned with published pharmacokinetic data.

Conclusions:

  • A validated human PBK model for DEET and DCBA was successfully developed using integrated data.
  • The model enabled estimation of external DEET dose and confirmed a margin of exposure above the level of concern.